The course introduces the basic concepts of descriptive Statistics and Probability. Principal topics: distributions and graphics; means, variability, skewness; bivariate distributions, dependence in mean, correlation, simple linear regression. Probability. Random variables, with special emphasis on Binomial, Poisson and Normal.
- Cicchitelli (2012) Statistica. Principi e Metodi. 2/Ed. con Pearson eText + MyMathLab Italiano. Editore Pearson. ISBN 9788865185124 (Chapters 1-7, 9-14).
- Teaching aids released by the teacher through Moodle.
Learning Objectives
The student should learn the basics of descriptive Statistics, understanding the properties of the methods and being able to apply
them to data. Furthermore, the student should know the basics of probability and random variables and should be able to make applications to real cases.
Prerequisites
None
Teaching Methods
lessons in classroom
Type of Assessment
paper examination + oral examination
Course program
Introduction. Types of variables. Ratios. Statistical distributions. Graphics. Mode, meadian and analytical means. Variability. Heterogeneity. Skewness and kurtosis. Chebicev inequality. Bivariate distributions. Indexes of association. Variance decomposition and dependence in mean. Covariance and correlation. Simple linear regression. Introduction to probability. Introduction to random variables. Main random variables, with special emphasis on Binomial, Poisson and Normal.